Geneticure.
Hypertension Precision Genomic Medicine

The treatment
decision
layer for
high blood pressure.

The platform to reliably control the world's #1 preventable cause of death. A single cheek swab guides how high blood pressure is best treated: whether renal denervation will work, and if it is the more traditional route of medications, which one is best for each patient.

Two products · one genomic platform
The Geneticure platform

We match treatment to biology,
from a single cheek swab.

Step 1

Cheek swab

Non-invasive collection from home or office.

We analyze only the genetic sites relevant to blood-pressure response, then destroy the sample.

Processed at a CAP-accredited, CLIA-certified genomics core, with results in as little as 48 hours.

Step 2

Patented algorithms

Integrated Computational Genomic Medicine, weighted across the cardiac, renal, and vascular systems that set blood pressure.

Two granted U.S. patents cover the multi-gene weighted-algorithm methods behind both programs: predicting renal denervation response (No. 12,351,873) and selecting antihypertensive medications (No. 11,761,043).

Step 3

One clear path

A one-page report tailored to the decision: for renal denervation, a responder score showing how likely a patient is to respond; for medications, the drug or drugs most likely to work.

This goes beyond drug-metabolism testing. Geneticure is Integrated Computational Genomic Medicine (ICGM): an inch-wide, mile-deep genetic window to individual physiology.

The renal denervation opportunity

Renal denervation works.
The challenge is knowing who it works for.

RDN is a minimally invasive, FDA-approved procedure that lowers blood pressure, with Medicare coverage under Coverage with Evidence Development. But we believe wider adoption depends on better patient selection. Roughly 20 to 30% of patients see no benefit or a rise in blood pressure. Identifying likely responders in advance is what turns a promising procedure into a confident treatment decision.

7 see meaningful benefit.  3 see no benefit, or worsen.

Clinical validation · blinded

In a blinded pilot,
we identified responders.

Scored as non-responders
+4.8
mmHg increase, lowest-scoring group (raw)
Scored as responders
−12.7
mmHg decrease, highest-scoring group (raw)

Patients with the highest scores, who our algorithm predicted would respond, had the greatest blood pressure reduction with RDN.

96%
sensitivity
85%
positive predictive value
−12.4
mmHg decrease, sham-adjusted effect
17.5
mmHg difference between the highest- and lowest-scoring groups

Our algorithm flagged nearly every patient who went on to respond, and the group it scored highest still separated clearly from the group it scored lowest once the sham arm was accounted for.

N=29 blinded study. Patients recruited at Stanford, Baylor, Penn, Ascension; Geneticure blinded to responder status.

Study at a glance
Design
Blinded genetic scoring of patients from a pivotal sham-controlled renal denervation trial. Scores were computed before blood-pressure outcomes were revealed.
Patients
29, prospectively genotyped by cheek swab.
Endpoint
Change in 24-hour systolic blood pressure.
Analysis
Correlation, median split, and tertiles of the Geneticure score.
Key results
Score-to-response correlation r = −0.65 (p < 0.001). Highest versus lowest tertile: a −12.7 mmHg decrease versus a +4.8 mmHg increase (raw). Sham-adjusted effect in the highest-scoring group: a −12.4 mmHg decrease. Sensitivity 96%, positive predictive value 85%.
Limitations
Small, single cohort. The critical score cutoff is not yet locked. Prospective validation is the next step.
The counterintuitive math

Selection treats more patients, not fewer.

Ruling out likely non-responders raises the expected benefit for the treated population, and higher expected benefit brings a larger group forward.

Patient willingness to have the RDN procedure
24% at ~5 mmHg 77% at 10+ mmHg
−3.9
mmHg. The average systolic reduction in recent sham-controlled RDN trials, below the roughly 5 mmHg considered clinically meaningful.
−12.4
mmHg. The sham-adjusted reduction in our highest-scoring pilot group, identified with our patented algorithm.
2.25×
more patients treated when responders are identified.
3.2×
more patients who benefit when responders are identified.
35M eligible patients
Without patient screening

24% of 35M would undergo RDN at the ~5 mmHg reduction they can expect today. Of those 8.4M, 70% respond.

With Geneticure screening

77% of 35M would undergo RDN for the potential 10+ mmHg reduction that screening identifies. Of those 27M, 70% screen in as likely responders and are treated.

Treated and responding Treated, no response Willing, screened out as unlikely to respond Not willing at the expected benefit

* Illustrative adoption scenario, not observed utilization. Assumes ~30% RDN non-response without selection, 70% of patients screening in as likely responders, and near-complete response among those selected. Willingness figures from a published patient-preference survey (2021): Medtronic Patient Preferences for the Treatment of Hypertension, presented at TCT 2021 (Kandzari DE et al., discrete choice experiment).

Pathway 2 · medication response

Right drug, first time,
across 40+ hypertension medications.

If validated at scale, this becomes the default starting point for hypertension treatment. The same swab, the same platform: a second engine addressing 120M U.S. patients.

Clinical results vs. standard of care
97%
controlled in <6 mo.
vs. 24% standard of care
36%
greater blood-pressure reduction on Geneticure-matched therapy (retrospective analysis)
−47%
lower cost / care episode

4 clinical trials (largely retrospective) · 8 peer-reviewed publications

Retrospective claims analysis (n=302)
$1,419
lower annual hypertension-related cost per patient (20% lower)
$3,112
lower hypertension-related hospitalization costs (64% lower)

DNA paired with historical medical claims; therapy concordant with Geneticure recommendations compared to discordant.

Team

A decade pioneering genomic technology
to treat hypertension better.

CEO
Scott Snyder
Formerly Target Corporation, OTC Consumer Healthcare and Pharmacy ($10B category volume).
COO
Eric Snyder, PhD
Former Mayo Clinic fellow in Cardiovascular Diseases and in Nephrology and Hypertension.
CSO
Ryan Sprissler, PhD
Founding member, Center for Applied Genetics & Genomic Medicine, University of Arizona.
Medical Director
Tim Curry, MD, PhD
Mayo Clinic Center for Individualized Medicine. Cardiopulmonary & neural physiology.
EVP Strategy
David Herbert
Formerly CAO Mayo Medical Laboratories, Chair of Mayo Global Business, and Mayo Medical Ventures.
Board of Directors Member
Ramsey Kilani, MD
Western Skies Partners · Gliavent Group · 20+ years in diagnostics and medical device strategy.

Advisors: Bruce D. Johnson, PhD (Professor of Medicine & Physiology, Mayo Clinic; NIH-funded genetics & cardiorespiratory lab) · Brad Wilson (CEO Emeritus, BCBS-NC) · Scott J. Dylla, PhD (former Co-Founder & CSO of Stemcentrx, acq'd by ABBV in 2016) · Joseph Falsone, MD, FACC (cardiologist, North Carolina Heart & Vascular) · Jordan Lipton, MD (co-founder, Signature Healthcare; emergency & concierge medicine).

Investors include: Mayo Clinic, Stanford University, Fairview Health, Xcellerant Ventures, M25, Wireframe Ventures, Western Skies Partners.

Evidence

A decade of peer-reviewed research.

Geneticure goes well beyond drug metabolism, assessing hypertension treatment across the heart, blood vessels, and kidneys. The full evidence base is below.

View the full evidence base

Outcomes

Peer-reviewed manuscripts

Presentations at national and international meetings

  • Multi-gene Pharmacogenetics and Blood Pressure Control in Patients with Hypertension. Johnson MW, Sprissler R, Olson TP, Beenken GW, Snyder EM. ASHP, 2016. FASEB J. 30(1):942.1.
  • Time to Blood Pressure Control According to Drug Class in Patients with Hypertension. Johnson MW, Sprissler R, Olson TP, Beenken GW, Snyder EM. ASHP, 2016. FASEB J. 30(1):941.12.
  • The Integrative Nature of Pharmacogenetics of Hypertension: Moving Beyond Drug Metabolizing Enzymes. Snyder EM, Sprissler R, Olson TP. Mayo Clinic Center for Individualized Medicine Annual Meeting, October 2016.
  • Genes Predicting the Response to Beta-Blockade May Also Influence the Blood Pressure Response to Diuretic Therapy. Snyder EM, Sprissler R, Olson TP. Mayo Clinic Center for Individualized Medicine Annual Meeting, October 2017.
  • Influence of genes important in renal sodium handling and the blood pressure response to a diuretic in hypertension. Ross J, Walla D, Snyder EM, Sprissler R, Olson TP, Phelps P. ASHP Annual Meeting, 2017.
  • Influence of genes involved in the renin-angiotensin-aldosterone system and the blood pressure response to angiotensin receptor blockade in hypertension. Walla D, Ross J, Snyder EM, Sprissler R, Olson TP, Phelps P. ASHP Annual Meeting, 2017.
  • Pharmacoeconomic Benefit of a Multi-Gene Panel and Blood Pressure Response to Hypertension Therapy. Akre M, Kelley EF, Snyder SC, Sprissler R, Olson TP, Snyder EM. Mayo Clinic Center for Individualized Medicine Annual Meeting, 2018.
  • Influence of beta-1 and beta-2 adrenergic receptor genotypes on echocardiographic response to selective and non-selective beta-blockade. Simmons JJ et al. ASHP Annual Meeting, 2018.
  • Influence of genetic variation of beta-2 adrenergic receptors and blood pressure response to a diuretic. Ayres A et al. ASHP Annual Meeting, 2018.
  • Influence of Angiotensin-Converting Enzyme (ACE) Genotypes on Blood Pressure Control and Incidence of Cough in Response to ACE Inhibition. Bulock EK et al. ASHP Annual Meeting, 2018.
  • The influence of beta-1-adrenergic receptor genotype on renal sodium handling and blood pressure response to angiotensin receptor blockers in hypertension patients. Kelley EF et al. FASEB J. 2019;33(1 suppl):819.5.
  • Relationship between a weighted multi-gene algorithm and blood pressure control in hypertension. Phelps PK et al. FASEB J. 2019;33(1 suppl):819.6.

Completed trials

Cited research

The quadruple aim

Next-generation precision medicine for the
leading preventable cause of death.

Better outcomes
Right patient for RDN. Right drug first.
Lower cost
20% lower HTN cost · 64% lower hospitalization costs.
Clinician efficiency
Decide before the cath lab. One-page report.
Patient experience
Cheek swab from home. Days to an answer.

The control layer for hypertension treatment.

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